Principal Software Engineer, Anti-Abuse

What you'll do

• Define platform-wide anti-abuse technical vision and strategy; architect detection and risk-scoring systems.
• Partner with product and engineering teams to build controls for high-risk platform capabilities and automatically mitigate abusive activity.
• Model emerging abuse techniques and mentor engineers while influencing architectural standards.

What they ask for

• 12+ years of software engineering experience in distributed systems, cloud platform infrastructure, or security engineering, with significant time in anti-abuse, fraud detection, platform trust, or threat mitigation.
• Track record architecting mission-critical, large-scale distributed services in Java, C++, or Python.
• Deep experience designing controls for code-execution runtimes, multi-tenant compute environments, cloud APIs, or data platforms.
• Experience building streaming event processing, anomaly detection, behavioral heuristic engines, or graph-based syndicate detection systems at enterprise scale.

Nice to have

• Experience building anti-abuse systems for multi-tenant cloud platforms or SaaS-at-scale environments.
• Familiarity with AI/LLM abuse vectors; zero-trust or defense-in-depth runtime architectures; relevant research or multi-cloud detection and response experience.

Pay

$264K – $379.5K (base salary)

Tools

Java, C++, Python, AWS, Azure, GCP

AI focus

Builds anti-abuse controls for AI/LLM services and may address AI/LLM abuse vectors such as prompt injection, model extraction, and automated content generation for fraud.